Vivek A. Sujan

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In field environments it is often not possible to provide robot teams with detailed a priori environment and task models. In such un-structured environments, robots will need to create a dimensionally accurate three-dimensional geometric model of its surroundings by performing appropriate sensor actions. However, uncertainties in robot locations and sensing(More)
To meet the objectives of many future missions, robots will need to be adaptable and reconfigurable. A concept for such a robotic system has been proposed previously based on using a large number of simple binary actuators. Previous researchers have addressed some of the issues brought up by robots with a few binary actuators. This paper examines the(More)
In field environments it is not usually possible to provide robotic systems with valid geometric models of the task and environment. The robot or robot teams will need to create these models by performing appropriate sensor actions. Here, an algorithm based on iterative sensor planning and sensor redundancy is proposed to enable them to efficiently build 3D(More)
In field environments it is not usually possible to provide robots in advance with valid geometric models of its environment and task element locations. The robot or robot teams need to create and use these models to locate critical task elements by performing appropriate sensor based actions. This paper presents a multi-agent algorithm for a manipulator(More)
This paper presents a study to experimentally evaluate a new design paradigm for robotic components, with emphasis on space robotics applications. In this design paradigm, robotic components are made from embedded binary ac-tuators and compliant mechanisms in order to reduce weight and complexity. This paper presents a series of five experiments that(More)
— Future planetary exploration missions will use cooperative robots to explore and sample rough terrain. To succeed robots will need to cooperatively acquire and share data. Here a cooperative multi-agent sensing architecture is presented and applied to the mapping of a cliff surface. This algorithm efficiently repositions the systems' sensing agents using(More)
Future planetary exploration missions will use cooperative robots to explore and sample rough terrain. To succeed robots will need to cooperatively acquire and share data. Here a cooperative multi-agent sensing architecture is presented and applied to the mapping of a cliff surface. This algorithm efficiently repositions the systems' sensing agents using an(More)